Learning path · 3 parts
Building AI in Africa
Applied AI for African markets: the compute and capital realities, what sovereignty actually means, the local-data moat, and case studies across agriculture, fintech and public services. Built for practitioners solving real problems on real budgets.
- 1
Rwanda Is Betting It Can Lead African AI Without Owning the Compute
Rwanda is first in Africa on AI policy, agency and summits, but the GPUs are going to South Africa, Egypt, Kenya, Morocco and Nigeria. Inside a small country's bet on governing AI instead of hosting it.
7 min read
- 2
Sierra Leone Is Writing Its First AI Strategy. The Minister Asked a Better Question Than Most Rich Countries Do.
MoCTI and the World Bank are building Sierra Leone's first National AI Strategy on a Compute, Capacity, Context diagnostic. The framing is genuinely good. The binding constraint is that 7 million Sierra Leoneans are offline.
7 min read
- 3
A 125M-Parameter Model for 11 Languages Is Not a Small Story
UCT researchers built an open corpus and a 125M-parameter decoder-only model covering all 11 official South African languages, nine of them low-resource. The corpus is the real contribution, and the size tells you why.
6 min read